A Science Cloud as the Forth Methodology for Science

Data Science as a Tool for Cloud Security

Sharing, collaboration and anywhere access are the prominent features of modern cloud applications. However, cloud security faces scalability challenges. In industries other than the cloud that are facing this same scalability problem, data science techniques have proven highly successful. Examples include web search, high-speed finance, high-volume image and video processing, and even large-sc...

Cloud Computing for Citizen Science

A Science Cloud for Data Intensive Sciences

It is often discussed that the fourth methodology for science researches is “informatics”; the first methodology is theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. The informatics is expected as a new methodology for data intensive science, which is a new concept based on the fact that most of the scientific data are digitalized and...

instrumentalism in the science, as a way of resolving the conflict between religion and science

instrumentalism (in the science) refers to a view that considers scientific theories as nothing more than instruments for prediction. sometimes the traces of this attitude have been searched in the writings of plato and aristotle; but mostly the pioneers of the theory have been thought to be the priests who regarded the scientific propositions as mere hypothesis, in order to defend religious do...

e-Science Central for CARMEN: science as a service

Scientists face many severe challenges in extracting value from the increasingly large volumes of data they generate. In this paper we describe the requirements we have derived from working across a wide range of e-science projects. In particular, the CARMEN neuroinformatics project has exposed a range of challenges due to a need to analyse and share large volumes of data. We have identified th...